Although the zero-padding in CNNs can provide some position information [1]}, it only contains information about spatial anchors [2]}. Therefore, central generated regions from GANs tend to repeat meaningless artifacts without specific position encoding. When the image size is large, the effect of zero-padding will be further weakened, which causes more repeated artifacts [3]} to generators.
